基于对数比变换和分形模型的地球化学异常识别与提取OA
Identification and extraction of geochemical anomalies based on log-ratio transformation and fractal model:a case study of Gejiu tin polymetallic deposit area in Yunnan province
覆盖区弱缓异常识别与靶区圈定,是矿产勘查的难点.云南个旧锡多金属矿集区50%以上面积被晚三叠统个旧组灰岩覆盖,属于典型老矿山,有必要开展新一轮找矿工作.本文以个旧锡多金属矿集区为研究对象,利用1∶20万水系沉积物数据,分别进行对数比变换、因子分析、S-A分析和靶区圈定.结果表明:加性对数比变换增强了因子分析的地质解释性,因子F1和F2的元素组合分别代表了酸性岩浆热液高-中-低温叠加的Sn矿化和基性岩浆体系的Cu矿化特征;S-A分析得到的异常区与个旧东西矿床高度契合,证实了S-A分形方法能有效消除"闭合效应",提高覆盖区的异常识别效率;在未充分探明的异常区,圈定了4个潜在靶区,为后续的锡矿资源勘查提供了科学依据.
The identification of weak and gradual anomalies in the coverage area and the delineation of target areas are the difficulties in mineral exploration.More than 50%of the Gejiu tin polymetallic deposit area in Yunnan is covered by Late Triassic Gejiu Formation limestone,which is a typical old mine and requires a new round of explora-tion work.This article takes the Gejiu tin polymetallic deposit as the research object,and uses 1∶200 000 water sedi-ment data to perform logarithmic ratio transformation,factor analysis,S-A analysis,and target area delineation.The results indicate that the additive logarithmic ratio transformation enhances the geological interpretability of factor analysis,and the element combinations of factors F1 and F2 represent the Sn mineralization characteristics of acidic magmatic hydrothermal high medium low temperature superposition and the Cu mineralization characteristics of basic magmatic systems,respectively;The abnormal area analyzed by S-A is highly consistent with the Gejiu east and west deposit,confirming that the S-A fractal method can effectively eliminate the"closure effect"and improve the efficiency of anomaly identification in the coverage area;Four potential target areas were identified in the unexplored anomaly zone,providing the scientific basis for subsequent exploration of tin resources.
李壮
昆明理工大学 国土资源工程学院,云南 昆明 650093
地质学
分形对数比变换因子分析地球化学异常识别个旧锡矿潜在靶区
fractallogarithmic ratio transformationfactor analysisgeochemistryabnormal recognitionGejiu Tin Minepotential target area
《化工矿物与加工》 2024 (010)
61-73 / 13
昆明理工大学引进人才基金项目(KKZ3202021050).
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